On 17th October, we embarked on a #30DaysOfDataScience journey, going from understanding the Python language to working with real life data and finally creating Machine Learning models both on Azure and in Python. Using the knowledge gained we were able to make decisions such as fraud detection, customer segmentation and salary prediction. Therefore, yes, you can learn Data Science in 30 Days!
Get Started with the week-by-week roadmap and skills challenge
Roadmap: The 30Days Skilling content provides a guided tour of Data Science and Machine Learning in Python and Azure in four themed weeks. Explore the roadmap here.
Gear up: You need to set up your Local Environment ready to get started. Learn how to do this for free here
Join the Challenge Today: Don't be left behind in the learning, this Cloud Skills Challenge contains modules that will give you skills to successfully get started with Python and Azure. The challenge closes on 30th November, 2022.
Watch Recordings of our Live sessions
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Session Title |
Speaker |
Live Link |
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Setting up your Local Python Environment |
Oluseye Jeremiah |
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Create your first program with Python |
Odion Sonny-Egbeahie |
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Data Wrangling and Manipulation |
Korey Stegared-Pace |
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Data Visualization |
Victor Mureithi |
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Build a salary predictor model |
Pamela Fox |
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Build a fraud detecting model - classification |
Raheem Nasirudeen |
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Build a customer segmentation model - clustering |
Carlotta Castellucio |
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Curate your Data Science Portfolio |
Anna Wykes, Bunmi Akinremi |
Next Steps...
Once you go through the resources, get started on the capstone project. Capstone Project: Building a recommender System and deploying it to Microsoft Azure. Below are resources you might need for the project:
- Data: Netflix or any other streaming platform. Where to find the data: 30 Days of Learning Netflix Data
- Need more resources to upskill: Find the resources here
